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| Cason, Carolyn L. | 2 |
| Burkheimer, Graham J. | 1 |
| Cason, Gerald J. | 1 |
| Henderson, Louise B. | 1 |
| Hirano-Nakanishi, Marsha J. | 1 |
| Levinsohn, Jay R. | 1 |
| Place, Carol | 1 |
| Riccobono, John | 1 |
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Download full textCason, Gerald J.; Cason, Carolyn L. – 1987
This study describes a computer based, performance rating information processing system, performance rating theory, and programs for the application of the theory to obtain ratings free from the effects of reviewer stringency in reviewing abstracts of conference papers. Originally, the Performance Rating (PR) System was used to evaluate the…
Descriptors: Abstracts, Computer Oriented Programs, Conference Papers, Data Processing
Cason, Carolyn L.; And Others – 1987
A total of 1,071 rating sheets were completed by individual reviewers evaluating abstracts submitted to Sigma Theta Tau International Honor Society for the International Research Congress in Edinburgh, Scotland. Only 972 sheets contained usable data. Reviewers indicated a total of 12 ratings with possible comments for each abstract on machine…
Descriptors: Abstracts, Computer Oriented Programs, Conference Papers, Data Processing
Riccobono, John; Henderson, Louise B.; Burkheimer, Graham J.; Place, Carol; Levinsohn, Jay R. – National Center for Education Statistics, 1981
The National Longitudinal Study (NLS) of the High School Class of 1972 is a large-scale long-term survey effort supported by the National Center for Education Statistics (NCES), Office of the Assistant Secretary for Educational Research and Improvement in the U.S. Department of Education. NLS is designed to provide statistics on a national sample…
Descriptors: Longitudinal Studies, National Surveys, Followup Studies, High School Graduates
Peer reviewedHirano-Nakanishi, Marsha J. – New Directions for Institutional Research, 1994
The Total Quality Management approach is used as a framework for a discussion of methodological issues related to diversity in higher education, including classification of race and ethnic information, data aggregation, and use of several key indicators (access to college, persistence, and student progress). (MSE)
Descriptors: Academic Persistence, Access to Education, Classification, College Environment
